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Hans Lievens

Ghent University

Coupure Links 653

Ghent, 9000

Belgium

SCHOLARLY PAPERS

3

DOWNLOADS

176

TOTAL CITATIONS

4

Scholarly Papers (3)

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1.

A Machine Learning Approach for Estimating Snow Depth Across the European Alps from Sentinel-1 Imagery

Number of pages: 38 Posted: 19 May 2024
Devon Dunmire, Hans Lievens, Lucas Boeykens and Gabrielle De Lannoy
KU Leuven, Ghent University, Ghent University and KU Leuven
Downloads 74 (860,052)
Citation 4

Abstract:

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snow depth, Remote Sensing, C-band SAR, machine learning, European Alps

2.

Identifying Snowfall Elevation Gradients by Assimilating Satellite-Based Snow Depth Observations

Number of pages: 36 Posted: 23 May 2023
Manuela Girotto, Giuseppe Formetta, Shima Azimi, Claire Bachand, Marianne Cowherd, Gabrielle De Lannoy, Hans Lievens, Sara Modanesi, Mark S. Raleigh, Riccardo Rigon and Christian Massari
University of California, Berkeley, University of Trento, University of Trento, Government of the United States of America - Los Alamos National Laboratory, affiliation not provided to SSRN, KU Leuven, Ghent University, affiliation not provided to SSRN, Oregon State University, University of Trento and affiliation not provided to SSRN
Downloads 64 (924,743)

Abstract:

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mountain hydrology, snowfall correction, data assimilation

3.

Assimilation of Sentinel-1 C-band SAR snow depth retrievals in operational hydrological modeling of high-alpine catchments

Number of pages: 75 Posted: 11 Feb 2026
Thomas Pulka, Caroline Ehrendorfer, Hans Lievens, Franziska Koch, Karsten Schulz, Herbert Formayer, Francesco Avanzi, Manuela Girotto and Mathew Herrnegger
affiliation not provided to SSRN, affiliation not provided to SSRN, Ghent University, affiliation not provided to SSRN, Universität für Bodenkultur Wien (BOKU), Universität für Bodenkultur Wien (BOKU), affiliation not provided to SSRN, University of California, Berkeley and affiliation not provided to SSRN
Downloads 38 (1,236,159)

Abstract:

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Data assimilation, Sentinel-1 snow depth retrievals, operational hydrological modeling, precipitation correction, mountain hydrology